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Quantifying the Social Costs of Power Outages and Restoration Disparities Across Four U.S. Hurricanes

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  • Xiangpeng Li
  • Junwei Ma
  • Bo Li
  • Ali Mostafavi

Abstract

The multifaceted nature of disaster impact shows that densely populated areas contribute more to aggregate burden, while sparsely populated but heavily affected regions suffer disproportionately at the individual level. This study introduces a framework for quantifying the societal impacts of power outages by translating customer weighted outage exposure into deprivation measures, integrating welfare metrics with three recovery indicators, average outage days per customer, restoration duration, and relative restoration rate, computed from sequential EAGLE I observations and linked to Zip Code Tabulation Area demographics. Applied to four United States hurricanes, Beryl 2024 Texas, Helene 2024 Florida, Milton 2024 Florida, and Ida 2021 Louisiana, this standardized pipeline provides the first cross event, fine scale evaluation of outage impacts and their drivers. Results demonstrate regressive patterns with greater burdens in lower income areas, mechanistic analysis shows deprivation increases with longer restoration durations and decreases with faster restoration rates, explainable modeling identifies restoration duration as the dominant driver, and clustering reveals distinct recovery typologies not captured by conventional reliability metrics. This framework delivers a transferable method for assessing outage impacts and equity, comparative cross event evidence linking restoration dynamics to social outcomes, and actionable spatial analyses that support equity informed restoration planning and resilience investment.

Suggested Citation

  • Xiangpeng Li & Junwei Ma & Bo Li & Ali Mostafavi, 2025. "Quantifying the Social Costs of Power Outages and Restoration Disparities Across Four U.S. Hurricanes," Papers 2509.02653, arXiv.org, revised Sep 2025.
    • Handle: RePEc:arx:papers:2509.02653
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    References listed on IDEAS

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    1. Irina Klytchnikova & Michael Lokshin, 2009. "Measuring Welfare Gains from Better Quality Infrastructure," Journal of Infrastructure Development, India Development Foundation, vol. 1(2), pages 87-109, December.
    2. Gjorgiev, Blazhe & Sansavini, Giovanni, 2022. "Identifying and assessing power system vulnerabilities to transmission asset outages via cascading failure analysis," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    3. Rahmatallah Poudineh and Tooraj Jamasb, 2017. "Electricity Supply Interruptions: Sectoral Interdependencies and the Cost of Energy Not Served for the Scottish Economy," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    4. Jennifer S Dargin & Ali Mostafavi, 2020. "Human-centric infrastructure resilience: Uncovering well-being risk disparity due to infrastructure disruptions in disasters," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-29, June.
    5. Xihui Wang & Xiang Wang & Liang Liang & Xiaohang Yue & Luk N. Van Wassenhove, 2017. "Estimation of Deprivation Level Functions using a Numerical Rating Scale," Production and Operations Management, Production and Operations Management Society, vol. 26(11), pages 2137-2150, November.
    6. Ahmed Daeli & Salman Mohagheghi, 2022. "Power Grid Infrastructural Resilience against Extreme Events," Energies, MDPI, vol. 16(1), pages 1-17, December.
    7. Diana Mitsova & Ann-Margaret Esnard & Alka Sapat & Betty S. Lai, 2018. "Socioeconomic vulnerability and electric power restoration timelines in Florida: the case of Hurricane Irma," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(2), pages 689-709, November.
    8. Habibollah Raoufi & Vahid Vahidinasab & Kamyar Mehran, 2020. "Power Systems Resilience Metrics: A Comprehensive Review of Challenges and Outlook," Sustainability, MDPI, vol. 12(22), pages 1-24, November.
    9. Sunhee Baik & Alexander L. Davis & Jun Woo Park & Selin Sirinterlikci & M. Granger Morgan, 2020. "Estimating what US residential customers are willing to pay for resilience to large electricity outages of long duration," Nature Energy, Nature, vol. 5(3), pages 250-258, March.
    10. Cantillo, Victor & Serrano, Iván & Macea, Luis F. & Holguín-Veras, José, 2018. "Discrete choice approach for assessing deprivation cost in humanitarian relief operations," Socio-Economic Planning Sciences, Elsevier, vol. 63(C), pages 33-46.
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